Publications

IMPORTANCE: Underrepresentation of women and racial and ethnic minority individuals among reviewers and funded investigators in health research has been widely reported. It is unknown whether such underrepresentation exists in the Veterans Health Administration (VHA).

OBJECTIVE: To describe gender and racial and ethnic makeup of VHA Health Services Research and Development (HSR&D) study sections and funding awardees and to explore the associations between gender and racial and ethnic makeup of study sections and awardees who were women and racial and ethnic minority individuals.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study at the VHA evaluated study section members and funding awardees from 5 review cycles from March 13, 2018, through March 6, 2020, identified via the HSR&D and National Institutes of Health websites.

MAIN OUTCOMES AND MEASURES: Univariable and multivariable logistic regression models were used to determine the likelihood of an awardee being a woman or a racial or ethnic minority individual based on the gender and racial and ethnic makeup of study sections, respectively. Separate models were conducted for investigator-initiated research proposals only.

RESULTS: Thirty-six study sections comprised 664 reviewers, including 381 women (57.4%) and 81 racial and ethnic minority individuals (12.2%). Of the 146 funded proposals, 77 (52.7%) were awarded to women and 25 (17.1%) to racial and ethnic minority investigators; 29 (19.9%) were reviewed by study sections with no racial and ethnic minority reviewers. The odds of a woman awardee were more than 5 times greater for proposals reviewed by study sections comprising the highest proportion of women (fourth quartile; >58.3%) than the lowest proportion of women (first quartile; ≤50.0%) (adjusted odds ratio [aOR], 5.24 [95% CI, 1.70-16.13]). Similarly, the odds of a racial or ethnic minority awardee were 3 times greater for proposals reviewed by study sections in the top 50th percentile for proportion of racial and ethnic minority individuals (>7.3%) than the bottom 50th percentile (aOR, 3.08 [95% CI, 1.18-8.09]). Secondary analyses limited to investigator-initiated research proposals identified similar associations.

CONCLUSIONS AND RELEVANCE: In this cross-sectional study of VHA HSR&D-funded research, racial and ethnic minority individuals were underrepresented among investigators and reviewers. More women and racial and ethnic minority reviewers on study sections were associated with women and racial and ethnic minority individuals awarded funding.

BACKGROUND: Anecdotal evidence suggests that gender inequity persists in academic pharmacy. To date, there are limited published data about the perception of gender inequity in academic pharmacy.

OBJECTIVE: The objective of this project was to determine themes associated with gender inequity perceptions in social and administrative science faculty from 2 national pharmacy organizations.

METHODS: A gender equity task force comprising 13 members from Social and Administrative Sciences (SAS) sections of the American Pharmacists Association and the American Association of Colleges of Pharmacy was formed. The task force designed a semistructured interview guide comprising questions about demographics and core areas where inequities likely exist. When the survey invitation was sent to faculty members of the SAS sections via Qualtrics, faculty indicated whether they were willing to be interviewed. Interviews were conducted by 2 members of the task force via video conferencing application. The interviews were transcribed. Topic coding involving general categorization by theme followed by refinement to delineate subcategories was used. Coding was conducted independently by 3 coders followed by consensus when discrepancies were identified.

RESULTS: A total of 21 faculty participated in the interviews. Respondents were primarily female (71%), were white (90%), had Doctor of Philosophy as their terminal degree (71%), and were in nontenure track positions (57%). Most respondents (90%) experienced gender inequity. A total of 52% reported experiencing gender inequity at all ranks from graduate student to full professor. Four major themes were identified: microaggression (57%), workload (86%), respect (76%), and opportunities (38%). Workload, respect, and opportunities included multiple subthemes.

CONCLUSION: Faculty respondents perceive gender inequities in multiple areas of their work. Greater inequity perceptions were present in areas of workload and respect. The task force offers multiple recommendations to address these inequities.

OBJECTIVES: To identify characteristics of US health systems and end users that report antimicrobial use and resistance (AUR) data, to determine how NHSN AUR data are used by hospitals and health systems and end users, and to identify barriers to AUR reporting.

DESIGN: An anonymous survey was sent to Society of Infectious Diseases Pharmacists (SIDP) and Society for Healthcare Epidemiology of America (SHEA) Research Network members.

METHODS: Data were collected via Survey Monkey from January 21 to February 21, 2020. Respondent and hospital data were analyzed using descriptive statistics.

RESULTS: We received responses from 238 individuals across 43 US states. Respondents were primarily pharmacists (84%), from urban areas, (44%), from nonprofit medical centers (81%), and from hospitals with >250 beds (72%). Also, 62% reported data to the AU module and 19% reported data to the AR module. Use of software for local AU or AR tracking was associated with increased reporting to the AU module (19% vs 64%) and the AR module (2% vs 30%) (P < .001 each). Only 36% of those reporting data to the AU module used NHSN AUR data analysis tools regularly and only 9% reported data to the AR module regularly. Technical challenges and time and/or salary support were the most common barriers to AUR participation cited by all respondents. Among those not reporting AUR data, increased local expectations to report and better software solutions were the most commonly identified solutions to increase AUR reporting.

CONCLUSIONS: Efforts to increase AUR reporting should focus on software solutions and salary support for data-entry activities. Increasing expectations to report may incentivize local resource allocation to improve AUR reporting rates.

Among 108 (0.05% of cohort) US veterans with a Clostridioides difficile infection (CDI) within 30 days of a dental antibiotic prescription, 80% of patients received guideline-discordant antibiotics. Half had chronic gastrointestinal illness potentially exacerbating their CDI risk. More efforts are needed to improve antibiotic stewardship.

OBJECTIVES: This study aims to examine the effects of the July 2018 worldwide valsartan recall and shortage on global trends of antihypertensive medication use in 83 countries.

METHODS: A time-series analysis of monthly purchases of valsartan, other angiotensin II receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) across 83 countries from January 2017 to July 2020 was conducted using the IQVIA MIDAS database. Trends in outcomes were investigated globally and by economic level (developed vs developing economies). The valsartan recall's impact on antihypertensive use was assessed with interventional autoregressive integrated moving average modelling.

RESULTS: Global valsartan utilisation trends decreased significantly by 15.7% (-61 166 515 SU; p<0.0001), while global purchases of other ARBs increased by 44.8% (+958 069 420 SU; p=0.8523) and ACEIs increased by 1.6% (+44 106 747 SU; p=0.1102). Of the 32 developed countries, 20 (62.5%) showed a decline in 1-month percentage change in valsartan purchases, whereas only 10 out of 33 developing countries (30.3%) experienced a decrease in valsartan purchases. Mean 1-month, 3-month and 6-month percentage changes for developed countries were -1.2%, -9.3% and -12.2%, respectively, while the changes for developing countries were 25.0%, 7.3% and -1.2%.

CONCLUSIONS: Global valsartan purchases substantially decreased post-recall, highlighting the far-reaching impacts of drug shortages. Opposing utilisation trends by economic level raise concerns of potential distribution of contaminated medications from developed countries to developing countries. Concerted actions for equitable global access to quality medications and mitigation of drug shortages are needed.

OBJECTIVES: To develop and validate a machine-learning algorithm to predict fatal overdose using Pennsylvania Prescription Drug Monitoring Program (PDMP) data.

METHODS: The training/testing (n = 3020,748) and validation (n = 2237,701) cohorts included Pennsylvania residents with a prescription dispensing from February 2018-September 2021. Potential predictors (n = 222) were measured in the 6 months prior to a random index date. Using a gradient boosting machine, we developed a 20-variable model to predict risk of fatal drug overdose in the 6 months after the index date.

RESULTS: Beneficiaries in the training (n = 1,812,448), testing (n = 1,208,300), and validation (n = 2,237,701) samples had similar age, with low rates of fatal overdose during 6-month follow up (0.12%, 0.12%, 0.04%, respectively). The validation c-statistic was 0.86 for predicting fatal overdose using 20 PDMP variables. When ranking individuals based on risk score, the prediction model more accurately identified fatal overdose at 6 months compared to using opioid dosage or opioid/benzodiazepine overlap, although the percentage of individuals in the highest risk percentile who died at 6 months was less than 1%.

CONCLUSIONS AND POLICY IMPLICATIONS: A gradient boosting machine algorithm predicting fatal overdose derived from twenty variables performed well in discriminating risk across testing and validation samples, improving on single factor risk measures like opioid dosage.

Objective. The majority of practicing pharmacists and student pharmacists are women. However, instruments to assess perceptions of gender equity within pharmacy academia are not available. The objective of this research was to describe the psychometric analysis of a questionnaire developed to assess gender equity by a Gender Equity Task Force and to report reliability and validity evidence.Methods. A questionnaire with 21 items addressing the teaching, research, service, advancement, mentoring, recruitment, and gender of college leaders was created. The survey was distributed via email in December 2020 to all social and administrative science section members of two professional associations. Rasch analysis was performed to evaluate the reliability and validity evidence for the questionnaire.Results. After reverse coding, all items met parameters for unidimensionality necessary for Rasch analysis. Once adjacent categories were merged to create a 3-point scale, the scale and items met parameters for appropriate functionality. Items were ordered hierarchically in order of difficulty. The modified instrument and scale can be treated as interval level data for future use.Conclusion. This analysis provides reliability and validity evidence supporting use of the gender equity questionnaire in the social and administrative academic pharmacy population if recommended edits such as the 3-point scale are used. Future research on gender equity can benefit from use of a psychometrically sound questionnaire for data collection.